1 00:00:00,100 --> 00:00:01,483 Speaker 1: Hello Habit Mechanics . 2 00:00:01,483 --> 00:00:02,967 It's Dr John Finn here. 3 00:00:02,967 --> 00:00:05,333 I hope you're having a fantastic week so far. 4 00:00:05,333 --> 00:00:11,009 So, as promised, I want to build on the last podcast, so if 5 00:00:11,009 --> 00:00:14,461 you haven't listened to that, go back and listen to it where I 6 00:00:14,461 --> 00:00:24,931 talked about the problems that we face if we want to thrive in 7 00:00:24,971 --> 00:00:27,774 the AI era and of course, everybody does. 8 00:00:29,274 --> 00:00:33,209 When I talk about, I talk about the foundational challenges with 9 00:00:33,209 --> 00:00:34,634 the approaches that we're using . 10 00:00:34,634 --> 00:00:38,084 They're not really designed with the brain in mind. 11 00:00:38,084 --> 00:00:42,051 They don't recognize that most of what we think and do is 12 00:00:42,131 --> 00:00:45,780 automatic or semi-automatic and therefore any solution to help 13 00:00:45,860 --> 00:00:50,472 our brains to work better, to help us to improve our cognitive 14 00:00:50,472 --> 00:00:55,966 performance, has to be based on a first principle approach. 15 00:00:55,966 --> 00:00:58,110 That means that we have to recognize, well, this is how 16 00:00:58,131 --> 00:01:05,210 brains work and therefore any support we give people needs to 17 00:01:05,271 --> 00:01:07,534 take how brains work into consideration. 18 00:01:07,534 --> 00:01:10,968 People don't just do what they know they should do and agree 19 00:01:11,769 --> 00:01:12,471 they should do. 20 00:01:12,471 --> 00:01:17,861 They do what they're in the habit of doing, and that's why 21 00:01:18,222 --> 00:01:24,391 sports science was so successful in literally revolutionising 22 00:01:24,451 --> 00:01:27,456 the physical performance of athletes. 23 00:01:31,141 --> 00:01:34,447 And in my head I always have this reference won't land with 24 00:01:34,466 --> 00:01:38,500 everybody, but in my head I always have that England Euro 96 25 00:01:38,500 --> 00:01:43,483 sort of dentist chair, as it was called after Paul Gascoigne 26 00:01:43,623 --> 00:01:51,164 scored against Scotland at Wembley and he ran to the corner 27 00:01:51,164 --> 00:01:57,094 and he was being poured the sports drink into his mouth by 28 00:01:57,200 --> 00:01:58,141 his teammates. 29 00:01:58,141 --> 00:02:05,614 But that, of course, was taken from this infamous episode. 30 00:02:05,614 --> 00:02:08,939 I think it was in Hong Kong or Singapore or somewhere where 31 00:02:08,960 --> 00:02:15,467 they'd been on a pre-tournament training camp and they ended up 32 00:02:15,486 --> 00:02:18,407 in a nightclub and there was this thing called the dentist 33 00:02:18,448 --> 00:02:24,211 chair, where you sat in and someone poured a lot of spirits 34 00:02:24,270 --> 00:02:28,239 into your mouth, where you're sat in and someone poured a lot 35 00:02:28,258 --> 00:02:28,919 of spirits into your mouth. 36 00:02:28,919 --> 00:02:32,084 So that sort of episode versus someone like Cristiano Ronaldo 37 00:02:32,104 --> 00:02:35,372 and the modern footballer and the completely different 38 00:02:35,412 --> 00:02:38,199 approach that they took to his performance. 39 00:02:38,199 --> 00:02:52,794 And, of course, the success of sports science was that it 40 00:02:52,813 --> 00:02:55,320 became an insurmountable competitive advantage, so 41 00:02:55,421 --> 00:02:56,706 everybody had to adopt it. 42 00:02:56,706 --> 00:02:59,542 But it's because the sports science worked, because it was 43 00:02:59,622 --> 00:03:04,103 based on one of the first principles, the fundamental 44 00:03:04,644 --> 00:03:06,850 principles of how human physiology works. 45 00:03:07,742 --> 00:03:12,295 And if we want to develop soccer players or footballers or tordy 46 00:03:12,295 --> 00:03:14,902 fran cyclists maybe not go there with that, actually, but 47 00:03:15,604 --> 00:03:19,832 um, you know, tiger woods did it in golf whoever we want to 48 00:03:19,872 --> 00:03:23,794 develop, to become better physically, we have to start 49 00:03:23,813 --> 00:03:26,805 with those foundational principles, and that, for me, is 50 00:03:26,805 --> 00:03:30,034 why the AI era is so exciting because it gives us this 51 00:03:30,415 --> 00:03:34,486 unprecedented opportunity to enhance our cognitive 52 00:03:34,526 --> 00:03:38,336 performance, which is your most valuable asset. 53 00:03:38,336 --> 00:03:39,980 It's my most valuable asset. 54 00:03:39,980 --> 00:03:44,312 It's a business's most valuable asset brain power drives 55 00:03:44,491 --> 00:03:48,502 everything, but unfortunately, it's becoming harder and harder 56 00:03:48,521 --> 00:03:55,217 to get our brains working well, and one of the things I think is 57 00:03:55,217 --> 00:03:58,862 really important that we understand is that lots of 58 00:03:58,923 --> 00:04:06,192 businesses are trying to capitalize on the performance 59 00:04:07,312 --> 00:04:13,949 gains that AI can offer, and they're doing that because 60 00:04:13,969 --> 00:04:19,908 they're seeing other businesses being successful when they 61 00:04:19,968 --> 00:04:26,190 implement AI tools and, according to big sets of data, 62 00:04:27,461 --> 00:04:34,552 when businesses get this right, they're able to grow 2.5% faster 63 00:04:34,552 --> 00:04:34,552 . 64 00:04:34,552 --> 00:04:44,644 They're able to create 1.6 times greater shareholder 65 00:04:44,946 --> 00:04:50,800 returns and other financial measures, but it's not just that 66 00:04:50,800 --> 00:05:00,548 they're able to create cultures where people feel happier and 67 00:05:00,588 --> 00:05:01,771 more engaged at work. 68 00:05:01,771 --> 00:05:07,819 But unfortunately, those businesses that are succeeding 69 00:05:08,321 --> 00:05:11,250 only represent a tiny number of businesses that are trying to 70 00:05:11,290 --> 00:05:15,755 succeed, and the biggest barrier , if you look at multiple sets 71 00:05:15,956 --> 00:05:20,437 of research that keeps coming up , is that when businesses are 72 00:05:20,517 --> 00:05:25,870 failing to get value out of AI and I think about 75% of them 73 00:05:26,050 --> 00:05:30,908 are, according to the data it's not the tech that's the problem. 74 00:05:30,908 --> 00:05:34,269 It's that people are drained. 75 00:05:34,269 --> 00:05:38,692 People are the barrier, not deliberately. 76 00:05:38,692 --> 00:05:42,204 It's because we're mentally fatigued, we're cognitively 77 00:05:42,264 --> 00:05:46,399 overwhelmed, and the AI comes in and it just gives us another 78 00:05:46,519 --> 00:05:51,168 thing to have to process, another thing to adapt to so we 79 00:05:51,228 --> 00:05:55,262 can unleash all the benefits of the ai revolution. 80 00:05:55,463 --> 00:05:58,776 Unless people's brains are working well and of course, we 81 00:05:58,836 --> 00:06:01,242 know that the traditional approach is to help people's 82 00:06:01,302 --> 00:06:04,228 brains work well don't work, otherwise we wouldn't be in this 83 00:06:04,228 --> 00:06:04,848 mess, right? 84 00:06:04,848 --> 00:06:06,190 Um? 85 00:06:06,190 --> 00:06:08,254 You know all the, all the numbers I talk about. 86 00:06:08,254 --> 00:06:12,041 A lot still still stand over 20 000 people a month in the uk 87 00:06:12,062 --> 00:06:14,567 being signed off on the sick with anxiety and depression. 88 00:06:14,567 --> 00:06:20,101 In the us, I think, um, I think about 25 of the adult 89 00:06:20,122 --> 00:06:22,225 population have a mental health diagnosis. 90 00:06:22,225 --> 00:06:26,709 That's about 53 million people. 91 00:06:26,709 --> 00:06:34,922 Um, so, and the things that we've been trying to do to get 92 00:06:34,982 --> 00:06:37,387 our brains working well, to enhance our cognitive 93 00:06:37,427 --> 00:06:39,677 performance, haven't worked, and that's why the BrainState 94 00:06:39,716 --> 00:06:43,944 methodology that I unpack in Train your Brain for the AI 95 00:06:43,985 --> 00:06:51,002 Revolution is so key, and we've been using that now for a long 96 00:06:51,062 --> 00:06:55,589 time and we've developed it with thousands of people. 97 00:06:55,589 --> 00:07:00,281 It's really, really robust, but ultimately, knowing how to use 98 00:07:00,322 --> 00:07:04,937 it is one thing, reading a book about it is one thing, putting 99 00:07:04,956 --> 00:07:06,463 it into practice is a different story. 100 00:07:07,617 --> 00:07:10,072 And that brings me on what I want to talk about on this 101 00:07:10,132 --> 00:07:10,394 podcast. 102 00:07:10,394 --> 00:07:16,067 So, to follow up from the previous podcast, I'm actually 103 00:07:16,088 --> 00:07:16,249 going to. 104 00:07:16,249 --> 00:07:22,096 So to follow up from the previous podcast, I want to have 105 00:07:22,096 --> 00:07:23,781 a three-part focus on becoming a human AI coach, what that 106 00:07:23,802 --> 00:07:25,586 means, where it fits into the workplace. 107 00:07:25,586 --> 00:07:30,184 So that's what I will focus on in this episode. 108 00:07:30,184 --> 00:07:34,584 Then the next episode I want to talk about what do you actually 109 00:07:34,584 --> 00:07:38,446 do as a human AI coach? 110 00:07:38,446 --> 00:07:42,858 And then in the third episode I'm going to talk about it more 111 00:07:43,600 --> 00:07:48,324 strategically as part of a bigger play for businesses who 112 00:07:48,345 --> 00:07:52,488 are trying to create what I call brain state intelligent 113 00:07:52,528 --> 00:07:56,874 cultures, which I think will be the winning cultures in this era 114 00:07:56,874 --> 00:07:56,874 . 115 00:07:56,874 --> 00:08:01,588 Workplaces where people are healthy, happy, can be at their 116 00:08:01,627 --> 00:08:04,055 best, can do the kind of work that makes them feel good about 117 00:08:04,076 --> 00:08:06,305 themselves, and therefore businesses that are thriving. 118 00:08:07,569 --> 00:08:11,620 So we have to take a human centric approach if we want to 119 00:08:11,660 --> 00:08:15,927 capitalize on what the ai revolution offers, and right now 120 00:08:15,927 --> 00:08:16,309 we're not. 121 00:08:16,309 --> 00:08:18,783 We're taking a technological-centric approach, 122 00:08:19,315 --> 00:08:22,858 we're thinking about all the shiny new tools, not optimizing 123 00:08:22,918 --> 00:08:28,406 ourselves first and foremost, and what I'm going to share in 124 00:08:28,447 --> 00:08:33,360 this podcast for the rest of this podcast is just a short 125 00:08:33,400 --> 00:08:38,015 chapter from Train your Brain for the AI Revolution, and the 126 00:08:38,056 --> 00:08:43,057 chapter's called the Three Roles Reshaping Our Future, and it's 127 00:08:43,077 --> 00:08:46,381 from step five of the book, which is change lives with the 128 00:08:46,422 --> 00:08:49,479 success cycle, coaching and leading the brain state 129 00:08:49,499 --> 00:08:56,309 revolution, and in this chapter I'm predicting a couple of 130 00:08:56,410 --> 00:08:58,860 technical roles that I think will become dominant in the 131 00:08:58,942 --> 00:08:59,302 future. 132 00:08:59,302 --> 00:09:03,072 But I also think the most important role that is going to 133 00:09:03,133 --> 00:09:06,697 emerge and is emerging right now and we're already training 134 00:09:06,758 --> 00:09:11,464 people how to do this is the role of the human AI coach, 135 00:09:12,615 --> 00:09:20,447 because cognitive performance the AI revolution is making 136 00:09:20,548 --> 00:09:24,495 cognitive performance more important than ever before, 137 00:09:27,000 --> 00:09:30,268 because the pace of change is getting faster and faster and 138 00:09:30,327 --> 00:09:30,688 faster. 139 00:09:30,688 --> 00:09:37,023 So we need to be more mentally agile and right now, people are 140 00:09:37,043 --> 00:09:37,445 struggling. 141 00:09:37,445 --> 00:09:41,380 They're not able to do this, so what they need is a coach, is 142 00:09:41,400 --> 00:09:45,318 an expert to actually work with them, step by step, to show them 143 00:09:45,318 --> 00:09:48,856 how to optimize how they manage their brain states and 144 00:09:48,876 --> 00:09:51,024 therefore optimize their cognitive performance. 145 00:09:51,024 --> 00:09:55,625 So what I'm going to share is an overview of what that looks 146 00:09:55,686 --> 00:10:04,282 like and why I think the human AI coach is going to be, I think 147 00:10:04,282 --> 00:10:07,607 , the most important role in workplaces going forwards. 148 00:10:07,607 --> 00:10:11,586 So here it is chapter 26. 149 00:10:11,586 --> 00:10:14,918 Remember, you can listen to the full book the full book inside 150 00:10:14,999 --> 00:10:17,326 it, for free, inside of the Habit Mechanic University app, 151 00:10:19,402 --> 00:10:22,937 which you can access via our website, and also the audiobook 152 00:10:22,998 --> 00:10:28,698 now is starting to pop up on mainstream audiobook platforms 153 00:10:28,879 --> 00:10:32,375 that you may already subscribe to or that you might want to buy 154 00:10:32,375 --> 00:10:33,541 the full book from. 155 00:10:33,541 --> 00:10:35,620 So, yeah, this is chapter 26. 156 00:10:35,620 --> 00:10:39,541 Enjoy Chapter 26. 157 00:10:40,274 --> 00:10:42,543 The three roles reshaping our future. 158 00:10:42,543 --> 00:10:47,981 Sarah sat at her desk reflecting on how far she'd come 159 00:10:47,981 --> 00:10:49,903 in mastering her brain states. 160 00:10:49,903 --> 00:10:53,705 Something profound has shifted, she realised. 161 00:10:53,705 --> 00:10:56,754 It's not just about using AI tools anymore. 162 00:10:56,754 --> 00:11:01,306 It's about understanding how humans and technology can truly 163 00:11:01,505 --> 00:11:02,368 enhance each other. 164 00:11:02,368 --> 00:11:07,397 This insight led her to a deeper revelation about the 165 00:11:07,457 --> 00:11:11,366 extraordinary transformation happening across every industry. 166 00:11:11,366 --> 00:11:15,764 The AI revolution is transforming work in a 167 00:11:15,884 --> 00:11:16,706 fundamental way. 168 00:11:16,706 --> 00:11:21,803 The industrial revolution showed us how machines could 169 00:11:21,845 --> 00:11:25,519 take over physical labour, freeing humans from 170 00:11:25,600 --> 00:11:26,923 back-breaking manual work. 171 00:11:26,923 --> 00:11:31,404 Now the AI revolution is doing something similar with mental 172 00:11:31,445 --> 00:11:31,666 work. 173 00:11:31,666 --> 00:11:37,131 Ai will handle most of the routine cognitive tasks humans 174 00:11:37,452 --> 00:11:38,596 are currently paid to do. 175 00:11:38,596 --> 00:11:42,227 This creates an extraordinary opportunity. 176 00:11:42,227 --> 00:11:47,260 Instead of spending our days on repetitive mental tasks, humans 177 00:11:47,260 --> 00:11:51,636 can focus on work that engages our unique cognitive abilities 178 00:11:52,538 --> 00:11:56,447 the kind of thinking that's both more fulfilling for us and more 179 00:11:56,447 --> 00:11:58,158 valuable in the AI era. 180 00:11:58,158 --> 00:12:03,182 Based on my deep understanding of human brain capabilities, 181 00:12:03,643 --> 00:12:07,918 potential limitations of AI technology and my work with over 182 00:12:07,918 --> 00:12:12,427 20,000 professionals, I believe we're seeing the emergence of 183 00:12:12,534 --> 00:12:14,623 three distinct roles in this new era. 184 00:12:14,623 --> 00:12:18,937 While others might see different futures, I predict 185 00:12:18,977 --> 00:12:23,850 these roles will dominate how humans create value alongside AI 186 00:12:23,850 --> 00:12:23,850 . 187 00:12:23,850 --> 00:12:27,398 Here are the three distinct roles 1. 188 00:12:27,398 --> 00:12:28,899 The innovators. 189 00:12:28,899 --> 00:12:30,282 2. 190 00:12:30,282 --> 00:12:31,442 The automators. 191 00:12:31,442 --> 00:12:32,845 3. 192 00:12:32,845 --> 00:12:34,547 Human AI coaches. 193 00:12:34,547 --> 00:12:38,275 Here are more details on each 1 . 194 00:12:38,937 --> 00:12:41,966 The innovators creating our future. 195 00:12:41,966 --> 00:12:45,938 Innovators are literally creating the future before our 196 00:12:46,078 --> 00:12:50,524 eyes, using AI to extend their high-charge brain states and 197 00:12:50,585 --> 00:12:54,730 human intelligence in ways previously unimaginable. 198 00:12:54,730 --> 00:12:58,837 In ways previously unimaginable , consider how medical 199 00:12:58,857 --> 00:13:00,669 researchers now use AI to screen millions of molecular 200 00:13:00,730 --> 00:13:05,075 combinations and identify promising antibiotic candidates 201 00:13:05,596 --> 00:13:10,145 in months instead of years, work that's crucial for fighting 202 00:13:10,467 --> 00:13:14,123 drug-resistant bacteria that threatens millions of lives 203 00:13:14,423 --> 00:13:15,004 worldwide. 204 00:13:15,004 --> 00:13:20,062 These innovators are shaping our future by developing 205 00:13:20,363 --> 00:13:25,217 breakthrough vaccines and medical treatments, creating 206 00:13:25,298 --> 00:13:31,278 next generation AI systems that transform industries, designing 207 00:13:31,357 --> 00:13:35,677 sustainable solutions for climate change, building new 208 00:13:36,198 --> 00:13:39,307 educational systems that personalise learning, 209 00:13:40,235 --> 00:13:43,125 revolutionising healthcare delivery and patient care, 210 00:13:44,174 --> 00:13:49,798 transforming how we travel, live and work, inventing new ways to 211 00:13:49,798 --> 00:13:52,927 produce and distribute clean energy. 212 00:13:52,927 --> 00:13:57,985 But here's what separates successful innovators from those 213 00:13:57,985 --> 00:14:00,813 who struggle their brain state profiles. 214 00:14:00,813 --> 00:14:06,347 The most effective innovators maintain arrowhead profiles, 215 00:14:06,894 --> 00:14:11,177 which I first introduced in Chapter 9, consistently 216 00:14:11,236 --> 00:14:15,326 optimising their daily premium cognitive performance. 217 00:14:15,326 --> 00:14:21,263 This difference enables them to Direct AI tools with sustained 218 00:14:21,403 --> 00:14:26,706 clarity and focus, maintain creative energy for breakthrough 219 00:14:26,706 --> 00:14:27,147 thinking. 220 00:14:27,147 --> 00:14:29,985 Innovate faster than competitors. 221 00:14:31,335 --> 00:14:31,535 2. 222 00:14:31,535 --> 00:14:35,346 The Automators Engineering the future. 223 00:14:35,346 --> 00:14:39,904 The second role is already transforming how we live and 224 00:14:39,946 --> 00:14:40,186 work. 225 00:14:40,186 --> 00:14:43,682 Think about how banking has been transformed through 226 00:14:43,764 --> 00:14:44,346 automation. 227 00:14:44,346 --> 00:14:49,551 What once required visiting a physical branch, waiting in line 228 00:14:49,551 --> 00:14:53,620 and interacting with tellers for every transaction, now 229 00:14:53,660 --> 00:14:55,905 happens instantly through your smartphone. 230 00:14:55,905 --> 00:15:00,903 The modern banking experience demonstrates how automators are 231 00:15:00,964 --> 00:15:03,375 revolutionising traditional industries. 232 00:15:03,375 --> 00:15:05,639 But this is just the beginning. 233 00:15:06,740 --> 00:15:11,167 Automators are creating two types of solutions physical 234 00:15:11,206 --> 00:15:13,750 automation and digital automation. 235 00:15:13,750 --> 00:15:18,677 Here are some physical automation examples Advanced 236 00:15:18,756 --> 00:15:21,404 robotics for manufacturing and warehouses. 237 00:15:21,404 --> 00:15:26,115 Automated delivery systems and autonomous vehicles. 238 00:15:26,115 --> 00:15:30,306 Smart machinery for construction and agriculture. 239 00:15:30,306 --> 00:15:34,427 Automated medical equipment and diagnostic tools. 240 00:15:34,427 --> 00:15:38,339 Next-generation robots that handle dangerous tasks. 241 00:15:38,339 --> 00:15:42,467 Intelligent production lines that adapt in real-time. 242 00:15:42,467 --> 00:15:47,923 Here are some digital automation examples AI systems 243 00:15:48,363 --> 00:15:51,027 that handle routine office tasks . 244 00:15:51,027 --> 00:15:55,679 Software that automates customer service and support. 245 00:15:55,679 --> 00:16:00,730 Intelligent systems for data analysis and reporting. 246 00:16:00,730 --> 00:16:05,041 Digital workflows that streamline business processes. 247 00:16:05,041 --> 00:16:08,749 Platforms that automate financial planning. 248 00:16:08,749 --> 00:16:12,895 Business processes. 249 00:16:12,895 --> 00:16:14,238 Platforms that automate financial planning. 250 00:16:14,238 --> 00:16:15,399 Smart systems that optimize supply chains. 251 00:16:15,399 --> 00:16:19,167 Again, the most successful automators share a crucial 252 00:16:19,206 --> 00:16:22,898 advantage Arrowhead brain state profiles. 253 00:16:22,898 --> 00:16:28,105 This optimal state allows them to handle complex technical 254 00:16:28,166 --> 00:16:30,470 challenges while maintaining focus. 255 00:16:30,470 --> 00:16:35,065 See automation opportunities others miss. 256 00:16:35,065 --> 00:16:39,485 Build more effective solutions faster than competitors. 257 00:16:41,177 --> 00:16:41,476 3. 258 00:16:41,476 --> 00:16:45,447 The Human AI Coaches the Critical Link. 259 00:16:45,447 --> 00:16:50,546 Human AI coaches are pioneering a crucial new role in 260 00:16:50,586 --> 00:16:51,688 professional development. 261 00:16:51,688 --> 00:16:57,004 They help people maintain peak cognitive performance in a world 262 00:16:57,004 --> 00:17:00,780 where AI handles more routine mental tasks. 263 00:17:00,780 --> 00:17:04,795 Drawing on their understanding of brain states and human 264 00:17:04,894 --> 00:17:08,989 performance, these coaches guide others to work at their best, 265 00:17:09,410 --> 00:17:13,301 especially during periods of intense cognitive demands. 266 00:17:13,301 --> 00:17:17,974 Just as athletic coaches help athletes optimise their physical 267 00:17:17,974 --> 00:17:22,944 performance, think of human AI coaches as performance coaches 268 00:17:23,345 --> 00:17:24,027 for the mind. 269 00:17:24,027 --> 00:17:30,048 In the AI era, this is perhaps the most crucial role, the one 270 00:17:30,127 --> 00:17:32,635 Sarah found herself naturally growing into. 271 00:17:34,239 --> 00:17:37,484 Human AI coaches serve as essential guides in this 272 00:17:37,545 --> 00:17:40,128 transformation, with a two-fold mission. 273 00:17:40,128 --> 00:17:46,625 First, they must master their own brain states, achieving and 274 00:17:46,664 --> 00:17:51,834 maintaining their own arrowhead profile, because they model 275 00:17:52,275 --> 00:17:54,018 optimal performance for clients. 276 00:17:54,018 --> 00:17:59,969 Clear thinking is essential for effective coaching and training 277 00:17:59,969 --> 00:17:59,969 . 278 00:17:59,969 --> 00:18:06,061 They need sustained energy for deep coaching work and impactful 279 00:18:06,061 --> 00:18:07,585 delivery of training. 280 00:18:07,585 --> 00:18:13,156 Second, they guide others to peak performance, helping both 281 00:18:13,616 --> 00:18:18,346 innovators and automators develop and maintain arrowhead 282 00:18:18,386 --> 00:18:23,626 profiles by teaching brain state optimization techniques. 283 00:18:24,595 --> 00:18:27,759 Supporting sustainable habit formation. 284 00:18:27,759 --> 00:18:33,307 Ensuring premium cognitive performance when it matters most 285 00:18:33,307 --> 00:18:33,307 . 286 00:18:33,307 --> 00:18:35,049 Supporting sustainable habit formation. 287 00:18:35,049 --> 00:18:37,594 Ensuring premium cognitive performance when it matters most 288 00:18:37,594 --> 00:18:38,174 the human ear, eye edge. 289 00:18:38,174 --> 00:18:39,037 Think about what this means in practice. 290 00:18:39,037 --> 00:18:43,675 When two innovators compete to solve the same problem, the one 291 00:18:43,736 --> 00:18:47,777 with an arrowhead profile has significantly more hours of 292 00:18:47,876 --> 00:18:50,464 premium cognitive performance daily. 293 00:18:50,464 --> 00:18:55,165 They direct AI tools more effectively during high-charge 294 00:18:55,205 --> 00:18:55,626 states. 295 00:18:55,626 --> 00:19:00,346 They consistently outperform those with fragmented brain 296 00:19:00,385 --> 00:19:00,787 states. 297 00:19:00,787 --> 00:19:06,145 Similarly, when automators compete to build automation 298 00:19:06,185 --> 00:19:11,325 solutions, those with Arrowhead Prof profiles see opportunities 299 00:19:11,786 --> 00:19:12,287 others miss. 300 00:19:12,287 --> 00:19:17,145 They maintain focus through complex development challenges. 301 00:19:17,145 --> 00:19:21,196 They create more effective solutions in less time. 302 00:19:21,196 --> 00:19:25,284 This is why human AI coaches become essential. 303 00:19:25,284 --> 00:19:30,593 Their impact extends throughout organisations, from 304 00:19:30,633 --> 00:19:34,240 transforming individual performance to optimising entire 305 00:19:34,240 --> 00:19:38,188 teams and guiding leaders through organisational change. 306 00:19:38,188 --> 00:19:42,101 They don't just help people use AI tools. 307 00:19:42,101 --> 00:19:47,076 They help optimise brain states at every level, helping to 308 00:19:47,135 --> 00:19:51,056 create workplace cultures that make it easier for everyone to 309 00:19:51,115 --> 00:19:52,818 thrive in the AI era. 310 00:19:52,818 --> 00:19:57,387 Sarah found particular resonance with the human AI 311 00:19:57,428 --> 00:19:58,048 coach role. 312 00:19:58,048 --> 00:20:02,260 Looking at these three roles she reflected. 313 00:20:02,260 --> 00:20:06,836 I realised that helping others optimise their brain states 314 00:20:07,317 --> 00:20:08,799 wasn't just something I enjoyed. 315 00:20:08,799 --> 00:20:13,449 It was becoming one of the most valuable skills in this new era 316 00:20:13,449 --> 00:20:13,449 . 317 00:20:13,449 --> 00:20:19,820 Your path forward, as Sarah discovered, understanding these 318 00:20:19,861 --> 00:20:23,188 emerging roles reveals extraordinary opportunities, 319 00:20:24,494 --> 00:20:27,723 whether you're drawn to becoming an innovator creating 320 00:20:27,784 --> 00:20:28,405 breakthroughs. 321 00:20:28,405 --> 00:20:53,479 Whether you're drawn to becoming an innovator creating 322 00:20:53,500 --> 00:20:54,785 breakthroughs, an automator building solutions, or choose to 323 00:20:54,785 --> 00:20:56,391 become a coach yourself, or simply want to help your team 324 00:20:56,411 --> 00:20:57,053 thrive in the AI era.